View source on GitHub |
Shift the zero-frequency component to the center of the spectrum.
tf.signal.fftshift(
x, axes=None, name=None
)
This function swaps half-spaces for all axes listed (defaults to all).
Note that y[0]
is the Nyquist component only if len(x)
is even.
For example:
x = tf.signal.fftshift([ 0., 1., 2., 3., 4., -5., -4., -3., -2., -1.])
x.numpy() # array([-5., -4., -3., -2., -1., 0., 1., 2., 3., 4.])
Args | |
---|---|
x
|
Tensor , input tensor.
|
axes
|
int or shape tuple , optional Axes over which to shift. Default is
None, which shifts all axes.
|
name
|
An optional name for the operation. |
Returns | |
---|---|
A Tensor , The shifted tensor.
|
numpy compatibility
Equivalent to numpy.fft.fftshift. https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fftshift.html